Senior AI/ML Engineer - R01551251

3 - 8 years

0 Lacs

Posted:2 weeks ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Senior AI/ML Engineer

Primary Skills

  • Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic),
  • Python/PySpark, SAS/SPSS, Statistical analysis and computing,
  • Probabilistic Graph Models, Great Expectation,
  • Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX),
  • Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM),
  • ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet),
  • Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio
Job requirements
  • Key Responsibilities
  • Develop and optimize machine learning models for various applications.
  • Implement AI algorithms, including deep learning, neural networks, and natural language processing (NLP).
  • Design and maintain data pipelines for model training and deployment.
  • Collaborate with cross-functional teams to integrate AI solutions into products.
  • Conduct research on emerging AI technologies and best practices.
  • Ensure scalability, reliability, and efficiency of AI models in production environments.
  • Troubleshoot and improve existing AI/ML systems.
  • Required Skills & Qualifications - Experience: 3-8 years in AI/ML development.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and other ML frameworks.
  • Data Handling: Strong knowledge of data preprocessing, feature engineering, and model evaluation.
  • Cloud & Deployment: Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
  • Problem-Solving: Ability to analyze complex problems and develop AI-driven solutions.

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